Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition

Mobilized telemedicine is becoming a key, and even necessary, facet of both precision health and precision medicine. In this study, we evaluate the capability and potential of a crowd of virtual workers—defined as vetted members of popular crowdsourcing platforms—to aid in the task of diagnosing aut...

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Detalles Bibliográficos
Autores principales: Washington, Peter, Leblanc, Emilie, Dunlap, Kaitlyn, Penev, Yordan, Kline, Aaron, Paskov, Kelley, Sun, Min Woo, Chrisman, Brianna, Stockham, Nathaniel, Varma, Maya, Voss, Catalin, Haber, Nick, Wall, Dennis P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564950/
https://www.ncbi.nlm.nih.gov/pubmed/32823538
http://dx.doi.org/10.3390/jpm10030086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564950/
https://www.ncbi.nlm.nih.gov/pubmed/32823538
http://dx.doi.org/10.3390/jpm10030086

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